Triple

T21545843
Position Surface form Disambiguated ID Type / Status
Subject Malwa region of Madhya Pradesh E531620 entity
Predicate hasMajorCity P316 FINISHED
Object Gautampura
Gautampura is a town in the Malwa region of Madhya Pradesh, India, known locally as a commercial and cultural center for the surrounding rural area.
 E1491312 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gautampura | Statement: [Malwa region of Madhya Pradesh, hasMajorCity, Gautampura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gautampura
Context triple: [Malwa region of Madhya Pradesh, hasMajorCity, Gautampura]
  • A. Jwalapur
    Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
  • B. Dahanapura
    Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
  • C. Valmikinagar
    Valmikinagar is a town in Bihar, India, known for its proximity to the Valmiki Tiger Reserve and its location along the Gandak River near the Indo-Nepal border.
  • D. Bhagwanpura
    Bhagwanpura is a town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and market center for surrounding rural areas.
  • E. Dantapura
    Dantapura was an ancient city traditionally identified as the royal and administrative center of the Kalinga kingdom in eastern India.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gautampura
Triple: [Malwa region of Madhya Pradesh, hasMajorCity, Gautampura]
Generated description
Gautampura is a town in the Malwa region of Madhya Pradesh, India, known locally as a commercial and cultural center for the surrounding rural area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gautampura
Target entity description: Gautampura is a town in the Malwa region of Madhya Pradesh, India, known locally as a commercial and cultural center for the surrounding rural area.
  • A. Jwalapur
    Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
  • B. Dahanapura
    Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
  • C. Valmikinagar
    Valmikinagar is a town in Bihar, India, known for its proximity to the Valmiki Tiger Reserve and its location along the Gandak River near the Indo-Nepal border.
  • D. Bhagwanpura
    Bhagwanpura is a town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and market center for surrounding rural areas.
  • E. Dantapura
    Dantapura was an ancient city traditionally identified as the royal and administrative center of the Kalinga kingdom in eastern India.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58ef2548190a81ff51baba76e48 completed April 27, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f6683c3881908d4ee2ec10789293 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f73007048190b9fc03f5d800ba84 completed May 17, 2026, 5:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09f8149a84819085d07e5b1eea463f completed May 17, 2026, 5:17 p.m.
Created at: April 16, 2026, 6:28 p.m.